Javaher

Data Visualization
Data Modeling
Data Migration
Data Cleansing
Exploratory Data Analysis
Designing & developing the Dashboards based on the requirements
Identify the patterns & trends on the data to provide the data-driven results.
Minimizing the columns which is more essential & keeping them in Silver layer & Gold Layer tables for taking the data-driven results.

<p>Reporting daily progress to the operations manager.<br>
Guiding the team.<br>
Managing data analysts and directing them toward their goals.<br>
Tracking and maintaining SLAs and TATs.<br>
Setting team goals and monitoring key performances.<br>
Analyzing FMCG products.<br>
Having basic knowledge of Unix and Mainframe DBs.<br>
Executing processes from input to end client.<br>
Providing solutions to customers related to sales, product attributes, and timeline briefing.<br>
Providing periodic KPIs to the client.<br>
Provided training to 150+ associates across all sub-processes.<br>
Created reports and KPIs based on client expectations.<br>
Handled client inquiries for the entire team.<br>
Maintained on-time delivery with defined quality.<br>
Handled 150+ client ad-hoc projects and 8 major projects for quality improvement.<br>
Taken 10+ new transitions across various teams and onshore.</p>

<p>Specialist in domain knowledge and application knowledge.<br>
Handling the team to achieve production and quality.<br>
Managing incidents and QE's.<br>
Analyzing root cause on ServiceNow.<br>
Conducting daily huddles and periodic team engagement activity.<br>
Conducting 1:1 sessions with the team for monitoring and improving ability.<br>
Extracting and visualizing reports using tools.<br>
Performing methodologies to reduce manpower and automate things.<br>
Having high-level knowledge in Microsoft Suite and Power BI.<br>
Familiar with competitive category across various platforms.<br>
Handling client queries and deliverables.<br>
Expert in legacy and non-legacy DB.<br>
Driving the team to complete projects on time.</p>

<p>Designing and developing dashboards based on requirements.<br>
Identifying patterns and trends in data to provide data-driven results.<br>
Providing dashboards for multiple levels and cross-functional departments.<br>
Published 56 on-live dashboards across various departments.<br>
Optimizing SQL queries for better performance to provide results quicker.<br>
Scrutinizing old queries and modifying them for performance improvement.<br>
Building multiple data models for various dashboards.<br>
Reducing DAX functions to reduce slowness.<br>
Minimizing columns and keeping them in Silver layer and Gold layer tables for data-driven results.<br>
Migrating on-prem data from SQL DB to cloud Azure services.<br>
Creating and deploying pipelines for smooth transformation from SQL DB to Azure Synapse.<br>
Creating and deploying pipelines for data migration at regular intervals.<br>
Using Azure Data Factory and Copy Activity to transfer data from SQL to Azure DB.<br>
Monitoring pipelines for completion status.<br>
Validating transformed data in Azure pipelines to ensure all data is available in cloud.<br>
Performing live data validation to verify source DB data is available on Synapse Cloud DB.<br>
Maintaining 15+ data sources for data transformation and migration.<br>
Validating 15+ data sources on regular intervals.<br>
Performing daily and monthly data validation.<br>
Automating validation in Python to identify missing records.</p>